Peake, Joshua, Amos, Martyn, Costen, Nicholas, Masala, Giovanni, Lloyd, Huw (2022) PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement. Future Generation Computer Systems, 129 . pp. 174-186. ISSN 0167-739X. (doi:10.1016/j.future.2021.11.019) (KAR id:93038)
PDF
Author's Accepted Manuscript
Language: English |
|
Download this file (PDF/2MB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: https://doi.org/10.1016/j.future.2021.11.019 |
Abstract
The Virtual Machine Placement (VMP) problem is a challenging optimization task that involves the assignment of virtual machines to physical machines in a cloud computing environment. The placement of virtual machines can significantly affect the use of resources in a cluster, with a subsequent impact on operational costs and the environment. In this paper, we present an improved algorithm for VMP, based on Parallel Ant Colony Optimization (PACO), which makes effective use of parallelization techniques and modern processor technologies. We achieve solution qualities that are comparable with or superior to those obtained by other nature-inspired methods, with our parallel implementation obtaining a speed-up of up to 2002x over recent serial algorithms in the literature. This allows us to rapidly find high-quality solutions that are close to the theoretical minimum number of Virtual Machines.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1016/j.future.2021.11.019 |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Giovanni Masala |
Date Deposited: | 03 Feb 2022 16:27 UTC |
Last Modified: | 05 Dec 2022 00:00 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/93038 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):